By TLV320AIC23 audio codec, on the one hand into the DSP memory, on the other ha...

利用HMM的语音识别代码，里面包含向前向后算法，重估baum算法，viterbi算法等，用C++编写的

ITU-T G.729B标准源代码编码端，已创建工程文件，方便初学者，已测试，运行良好-ITU-T G.729B standard source coding side, the project document has been created to facilitate the beginners, have been tested, well-functioning

包含G723 G729 Gsm iLBC PCM音频编码的动态库-Containing G723 G729 Gsm iLBC PCM audio coding dynamic database

这是一个的matlab的对语音处理文件。、 包括录音，MFCC特征，VQLBG法的库的形成，与非特定人的识别问题。-This is one of the matlab files for voice processing. , Including the recording, MFCC characteristics, VQLBG law, the formation of the Treasury, with non-specific identification of people.

G.723.1语音压缩编码的英文原文和中文译文。该协议是双速率语音压缩编码，提供5.3和6.3kbps的速率，占用很窄的带宽。-G.723.1 voice coding the original English and Chinese translations. The agreement is a two-bit-rate speech coding, and 5.3. Rate, which takes up a very narrow bandwidth.

C50_melp.tar.gz为美军2400bps语音压缩编码算法，该压缩文件是算法在TI的TMS320V5X芯片上的实时实现算法。-C50_melp.tar.gz for U.S. 2400 voice compression encoding algorithm, the document compression algorithm is TMS320V5X in TI"s chip real-time algorithm.

TTS应用，完成朗读功能，你可以在源码基础上用半个小时写出同样的程序。-TTS application, complete the reading function, you can source the basis of half an hour to write using the same procedure.

语音信号预处理matlab程序，在7.0上运行通过，可以做实验参者代码。-Matlab voice signal pre-processing program, run through the 7.0, you can experiment with participation by the code.

模拟语音信号的动态范围压缩算法的matlab源码-Yiu Pang音portability cavity ulcers信rabble-hung Yu Yang围压stand for goblets算Daitou tungsten cavity matlab

The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.-The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.